| 一种改进的自适应邻域粒子群优化算法 |
| |
| 引用本文： | 邢万波,杨圣奇,王树平,陈文杰. 一种改进的自适应邻域粒子群优化算法[J]. 计算机应用, 2008, 28(12): 3055-3057 |
| |
| 作者姓名： | 邢万波 杨圣奇 王树平 陈文杰 |
| |
| 作者单位： | 中国水电顾问集团成都勘测设计研究院,成都,610072;河海大学,土木工程学院,南京,210098;河海大学,土木工程学院,南京,210098;中国水电顾问集团成都勘测设计研究院,成都,610072;四川二滩国际工程咨询有限责任公司,成都,610072 |
| |
| 基金项目： | 国家自然科学基金 |
| |
| 摘 要： | 在对粒子群优化(PSO)算法进行深入分析的基础上，建立了自适应邻域更新机制，再对惯性权重更新机制进行自适应化，分别从拓扑邻域结构和惯性权重两个角度对局部版PSO算法进行了改进，提出了一种实用、高效的自适应邻域粒子群优化算法，经7个标准测试函数验证，该算法具有较高效率和精度。
|
| 关 键 词： | 粒子群优化算法 惯性权重 自适应邻域 |
| 收稿时间： | 2008-06-30 |
Improved PSO algorithm with adaptive neighborhood |
| |
| XING Wan-bo,YANG Sheng-qi,WANG Shu-ping,CHEN Wen-jie. Improved PSO algorithm with adaptive neighborhood[J]. Journal of Computer Applications, 2008, 28(12): 3055-3057 |
| |
| Authors: | XING Wan-bo YANG Sheng-qi WANG Shu-ping CHEN Wen-jie |
| |
| Affiliation: | XING Wan-bo1,2,YANG Sheng-qi2,WANG Shu-ping1,CHEN Wen-jie31.Chengdu Hydropower Inverstigation,Design & Research Institute of China Hydropower Engineering Consulting Group Co.,Chengdu Sichuan 610072,China,2.Civil Engineering College,Hohai University,Nanjing Jiangsu 210098,3.Sichuan Ertan International Engineering Consulting Company Limited |
| |
| Abstract: | Based on thorough analysis on the existing PSO algorithms, an improved PSO algorithm with adaptive neighborhood was proposed, which included two special improvements: the mechanism of scheduled neighborhood adaptation, and a modified mechanism of scheduled interia weight adaptation. The proposed PSO algorithm is proved to be high-performing and high accurate by 7 standard banchmark functions. |
| |
| Keywords: | Particle Swarm Optimization (PSO) intertia weight adaptive neighborhood |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
|
